Kyle Wray

(he/him)

Research Assistant Professor

Kyle Wray
  • Artificial intelligence
  • Machine learning
  • Robotics
  • PhD in Computer Science, University of Massachusetts Amherst
  • MS in Computer Science, University of Massachusetts Amherst
  • MA in Mathematics, Pennsylvania State University
  • MS in Computer Science and Engineering, Pennsylvania State University
  • BS in Computer Science, Pennsylvania State University
  • BS in Mathematics, Pennsylvania State University

Kyle Wray is a research assistant professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is a member of Northeastern’s Institute for Experiential Robotics. 

Fascinated by the idea of robots that work harmoniously with humans, Wray has made his research home at the intersection of theoretical AI, machine learning, and applied robotics. Using techniques like reinforcement learning, decision theory, stochastic processes, and optimization with a specific foundation of Markov decision processes, he explores the theoretical foundations and practical implementations of decision-making under uncertainty. In doing so, Wray aims to build safe, interpretable, and efficient autonomous robots; enable them to work collaboratively with humans; and deploy them as truly scalable, long-term, autonomous solutions. 

Wray has explored autonomous robots in industry as well. Before joining Northeastern in 2025, he was a director of engineering at Robust AI, leading the fleet intelligence team. Before that, he served as a principal researcher at the Nissan Advanced Technology Center and as a visiting scholar at Stanford University. 

Throughout his career, Wray has been granted 71 patents, published 31 papers, and deployed upwards of 20 robots. He has received the IAAI Innovative Application Award, ICAPS Best Dissertation Award, and the Nissan Patent Research Award.